Development and Validation of a Highly Sensitive RT-qLAMP Assay for Rapid Detection of SARS-CoV-2: Methodological Aspects.

Diagnostic virology RT-qLAMP RT-qPCR SARS-CoV-2

Journal

Molecular biotechnology
ISSN: 1559-0305
Titre abrégé: Mol Biotechnol
Pays: Switzerland
ID NLM: 9423533

Informations de publication

Date de publication:
24 Sep 2024
Historique:
received: 22 10 2023
accepted: 27 08 2024
medline: 24 9 2024
pubmed: 24 9 2024
entrez: 24 9 2024
Statut: aheadofprint

Résumé

Specific and reliable diagnostic methods are becoming increasingly essential to identify patients in light of the high transmission rate and the recent appearance of the new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). For the specific detection of SARS-CoV-2, our quantitative reverse transcription loop-mediated isothermal amplification (RT-qLAMP) assay implementation demonstrates how flexible it can be with two readouts: visualized colorimetric and real-time fluorescence. Different factors were optimized to improve the reaction conditions, including temperature (60 °C), assay runtime (60 min), primers, MgSO

Identifiants

pubmed: 39316362
doi: 10.1007/s12033-024-01275-7
pii: 10.1007/s12033-024-01275-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Iran University of Medical Sciences
ID : IR.IUMS.REC.1400.5242
Organisme : Iran University of Medical Sciences
ID : ID: 1400-1-5-21079

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Faezeh Mahmoudi (F)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran.

Davod Jafari (D)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran.

Seyedeh Mona Mousavi Esfahani (SMM)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran.

Arshad Hoseini (A)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran.

Mahmood Barati (M)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran. mahmood.barati@gmail.com.

Neda Saraygord-Afshari (N)

Department of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, 14496114535, Iran. neda.s.afshari@gmail.com.

Classifications MeSH